Open Data Evaluation Models: Theory and Practice

Yannis Charalabidis, Anneke Zuiderwijk, Charalampos Alexopoulos, Marijn Janssen, Thomas Lampoltshammer and Enrico Ferro
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Yannis Charalabidis: University of the Aegean
Anneke Zuiderwijk: Delft University of Technology
Charalampos Alexopoulos: University of the Aegean
Marijn Janssen: Delft University of Technology
Thomas Lampoltshammer: Danube University Krems
Enrico Ferro: Istituto Superiore Mario Boella

Chapter Chapter 8 in The World of Open Data, 2018, pp 137-172 from Springer

Abstract: Abstract Evaluation of Open Data is a systematic determination of open data merit, worth and significance, using criteria governed by a set of standards (Farbey, Land, & Targett, 1999). It is an essential procedure trying to ignite a learning and innovation process leading to a more effective data exploitation. Examples of questions to be answered by open data evaluation could be: what is the current status of published data against the best practices identified, how effectively these data are published or used, what are the most valuable data for users, what are the problems and barriers discouraging the publication and use of open data and in which extend these barriers affects users’ behaviour towards data usage. The answers on these questions will affect the next developments of an open data portal or initiative and the publication procedure.

Date: 2018
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DOI: 10.1007/978-3-319-90850-2_8

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